Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 3194 |
| Missing cells | 4 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.4 MiB |
| Average record size in memory | 469.5 B |
Variable types
| Numeric | 8 |
|---|---|
| DateTime | 1 |
| Categorical | 6 |
last_date has constant value "2022-03-07 00:00:00" | Constant |
state_name has a high cardinality: 52 distinct values | High cardinality |
county_name has a high cardinality: 1899 distinct values | High cardinality |
cases is highly correlated with deaths and 1 other fields | High correlation |
deaths is highly correlated with cases and 1 other fields | High correlation |
population is highly correlated with cases and 1 other fields | High correlation |
cases is highly correlated with deaths and 1 other fields | High correlation |
deaths is highly correlated with cases and 1 other fields | High correlation |
population is highly correlated with cases and 1 other fields | High correlation |
cases is highly correlated with deaths and 1 other fields | High correlation |
deaths is highly correlated with cases and 1 other fields | High correlation |
population is highly correlated with cases and 1 other fields | High correlation |
state_name is highly correlated with fips and 5 other fields | High correlation |
fips is highly correlated with state_name and 2 other fields | High correlation |
latitude is highly correlated with state_name and 3 other fields | High correlation |
county_type is highly correlated with cbsa_county_type and 2 other fields | High correlation |
population is highly correlated with cases and 1 other fields | High correlation |
cbsa_county_type is highly correlated with county_type and 2 other fields | High correlation |
deaths_per_k is highly correlated with state_name and 1 other fields | High correlation |
cases is highly correlated with population and 1 other fields | High correlation |
cbsa_type is highly correlated with state_name and 3 other fields | High correlation |
cbsa_rural is highly correlated with county_type and 2 other fields | High correlation |
cases_per_k is highly correlated with state_name | High correlation |
longitude is highly correlated with state_name and 2 other fields | High correlation |
deaths is highly correlated with population and 1 other fields | High correlation |
county_type is highly correlated with cbsa_county_type and 2 other fields | High correlation |
cbsa_county_type is highly correlated with county_type and 2 other fields | High correlation |
cbsa_type is highly correlated with county_type and 2 other fields | High correlation |
cbsa_rural is highly correlated with county_type and 2 other fields | High correlation |
fips has unique values | Unique |
latitude has unique values | Unique |
longitude has unique values | Unique |
deaths has 96 (3.0%) zeros | Zeros |
deaths_per_k has 96 (3.0%) zeros | Zeros |
Reproduction
| Analysis started | 2022-03-09 15:37:53.615610 |
|---|---|
| Analysis finished | 2022-03-09 15:38:02.005415 |
| Duration | 8.39 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 3194 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 31290.39167 |
| Minimum | 1001 |
|---|---|
| Maximum | 72153 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 1001 |
|---|---|
| 5-th percentile | 5100.3 |
| Q1 | 19023.5 |
| median | 30006 |
| Q3 | 46076.5 |
| 95-th percentile | 55025.7 |
| Maximum | 72153 |
| Range | 71152 |
| Interquartile range (IQR) | 27053 |
Descriptive statistics
| Standard deviation | 16280.83748 |
|---|---|
| Coefficient of variation (CV) | 0.5203142759 |
| Kurtosis | -0.6124471655 |
| Mean | 31290.39167 |
| Median Absolute Deviation (MAD) | 12098 |
| Skewness | 0.1714027627 |
| Sum | 99941511 |
| Variance | 265065669.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 51199 | 1 | < 0.1% |
| 54079 | 1 | < 0.1% |
| 32017 | 1 | < 0.1% |
| 13115 | 1 | < 0.1% |
| 54071 | 1 | < 0.1% |
| 47059 | 1 | < 0.1% |
| 9013 | 1 | < 0.1% |
| 54067 | 1 | < 0.1% |
| 9009 | 1 | < 0.1% |
| 54063 | 1 | < 0.1% |
| Other values (3184) | 3184 |
| Value | Count | Frequency (%) |
| 1001 | 1 | |
| 1003 | 1 | |
| 1005 | 1 | |
| 1007 | 1 | |
| 1009 | 1 | |
| 1011 | 1 | |
| 1013 | 1 | |
| 1015 | 1 | |
| 1017 | 1 | |
| 1019 | 1 |
| Value | Count | Frequency (%) |
| 72153 | 1 | |
| 72151 | 1 | |
| 72149 | 1 | |
| 72147 | 1 | |
| 72145 | 1 | |
| 72143 | 1 | |
| 72141 | 1 | |
| 72139 | 1 | |
| 72137 | 1 | |
| 72135 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.1 KiB |
| Minimum | 2022-03-07 00:00:00 |
|---|---|
| Maximum | 2022-03-07 00:00:00 |
Histogram with fixed size bins (bins=1)
| Distinct | 52 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 203.4 KiB |
| Texas | |
|---|---|
| Georgia | 159 |
| Virginia | 133 |
| Kentucky | 120 |
| Missouri | 115 |
| Other values (47) |
Length
| Max length | 20 |
|---|---|
| Median length | 8 |
| Mean length | 8.178459612 |
| Min length | 4 |
Characters and Unicode
| Total characters | 26122 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | South Carolina |
|---|---|
| 2nd row | Louisiana |
| 3rd row | Virginia |
| 4th row | Idaho |
| 5th row | Iowa |
Common Values
| Value | Count | Frequency (%) |
| Texas | 254 | 8.0% |
| Georgia | 159 | 5.0% |
| Virginia | 133 | 4.2% |
| Kentucky | 120 | 3.8% |
| Missouri | 115 | 3.6% |
| Kansas | 105 | 3.3% |
| Illinois | 102 | 3.2% |
| North Carolina | 100 | 3.1% |
| Iowa | 99 | 3.1% |
| Tennessee | 95 | 3.0% |
| Other values (42) | 1912 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| texas | 254 | 6.8% |
| virginia | 188 | 5.0% |
| georgia | 159 | 4.3% |
| north | 153 | 4.1% |
| carolina | 146 | 3.9% |
| new | 126 | 3.4% |
| kentucky | 120 | 3.2% |
| dakota | 119 | 3.2% |
| missouri | 115 | 3.1% |
| south | 112 | 3.0% |
| Other values (47) | 2233 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 3419 | |
| i | 2819 | 10.8% |
| o | 2203 | 8.4% |
| n | 2173 | 8.3% |
| s | 2126 | 8.1% |
| e | 1618 | 6.2% |
| r | 1382 | 5.3% |
| t | 882 | 3.4% |
| l | 811 | 3.1% |
| h | 630 | 2.4% |
| Other values (36) | 8059 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 21867 | |
| Uppercase Letter | 3724 | 14.3% |
| Space Separator | 531 | 2.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3419 | |
| i | 2819 | |
| o | 2203 | |
| n | 2173 | |
| s | 2126 | |
| e | 1618 | |
| r | 1382 | 6.3% |
| t | 882 | 4.0% |
| l | 811 | 3.7% |
| h | 630 | 2.9% |
| Other values (14) | 3804 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 508 | |
| N | 389 | |
| T | 349 | |
| I | 342 | 9.2% |
| C | 277 | 7.4% |
| K | 225 | 6.0% |
| V | 202 | 5.4% |
| O | 201 | 5.4% |
| W | 189 | 5.1% |
| A | 185 | 5.0% |
| Other values (11) | 857 |
Space Separator
| Value | Count | Frequency (%) |
| 531 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 25591 | |
| Common | 531 | 2.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3419 | |
| i | 2819 | 11.0% |
| o | 2203 | 8.6% |
| n | 2173 | 8.5% |
| s | 2126 | 8.3% |
| e | 1618 | 6.3% |
| r | 1382 | 5.4% |
| t | 882 | 3.4% |
| l | 811 | 3.2% |
| h | 630 | 2.5% |
| Other values (35) | 7528 |
Common
| Value | Count | Frequency (%) |
| 531 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 26122 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 3419 | |
| i | 2819 | 10.8% |
| o | 2203 | 8.4% |
| n | 2173 | 8.3% |
| s | 2126 | 8.1% |
| e | 1618 | 6.2% |
| r | 1382 | 5.3% |
| t | 882 | 3.4% |
| l | 811 | 3.1% |
| h | 630 | 2.4% |
| Other values (36) | 8059 |
| Distinct | 1899 |
|---|---|
| Distinct (%) | 59.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 199.9 KiB |
| Washington | 30 |
|---|---|
| Jefferson | 26 |
| Franklin | 25 |
| Jackson | 24 |
| Lincoln | 24 |
| Other values (1894) |
Length
| Max length | 35 |
|---|---|
| Median length | 7 |
| Mean length | 7.053537884 |
| Min length | 3 |
Characters and Unicode
| Total characters | 22529 |
|---|---|
| Distinct characters | 55 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1460 ? |
|---|---|
| Unique (%) | 45.7% |
Sample
| 1st row | Abbeville |
|---|---|
| 2nd row | Acadia |
| 3rd row | Accomack |
| 4th row | Ada |
| 5th row | Adair |
Common Values
| Value | Count | Frequency (%) |
| Washington | 30 | 0.9% |
| Jefferson | 26 | 0.8% |
| Franklin | 25 | 0.8% |
| Jackson | 24 | 0.8% |
| Lincoln | 24 | 0.8% |
| Madison | 20 | 0.6% |
| Montgomery | 18 | 0.6% |
| Clay | 18 | 0.6% |
| Union | 18 | 0.6% |
| Monroe | 17 | 0.5% |
| Other values (1889) | 2974 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| washington | 30 | 0.9% |
| jefferson | 28 | 0.8% |
| franklin | 26 | 0.8% |
| st | 26 | 0.8% |
| lincoln | 24 | 0.7% |
| jackson | 24 | 0.7% |
| san | 21 | 0.6% |
| madison | 20 | 0.6% |
| lake | 18 | 0.5% |
| montgomery | 18 | 0.5% |
| Other values (1920) | 3200 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2271 | 10.1% |
| e | 2154 | 9.6% |
| n | 1874 | 8.3% |
| o | 1743 | 7.7% |
| r | 1536 | 6.8% |
| l | 1291 | 5.7% |
| i | 1188 | 5.3% |
| t | 1006 | 4.5% |
| s | 996 | 4.4% |
| u | 577 | 2.6% |
| Other values (45) | 7893 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 18778 | |
| Uppercase Letter | 3475 | 15.4% |
| Space Separator | 241 | 1.1% |
| Other Punctuation | 31 | 0.1% |
| Dash Punctuation | 4 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2271 | |
| e | 2154 | |
| n | 1874 | |
| o | 1743 | |
| r | 1536 | 8.2% |
| l | 1291 | 6.9% |
| i | 1188 | 6.3% |
| t | 1006 | 5.4% |
| s | 996 | 5.3% |
| u | 577 | 3.1% |
| Other values (16) | 4142 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 420 | |
| M | 315 | 9.1% |
| S | 289 | 8.3% |
| B | 247 | 7.1% |
| L | 231 | 6.6% |
| W | 222 | 6.4% |
| P | 202 | 5.8% |
| H | 200 | 5.8% |
| G | 163 | 4.7% |
| D | 145 | 4.2% |
| Other values (15) | 1041 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 27 | |
| ' | 4 | 12.9% |
Space Separator
| Value | Count | Frequency (%) |
| 241 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 22253 | |
| Common | 276 | 1.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2271 | 10.2% |
| e | 2154 | 9.7% |
| n | 1874 | 8.4% |
| o | 1743 | 7.8% |
| r | 1536 | 6.9% |
| l | 1291 | 5.8% |
| i | 1188 | 5.3% |
| t | 1006 | 4.5% |
| s | 996 | 4.5% |
| u | 577 | 2.6% |
| Other values (41) | 7617 |
Common
| Value | Count | Frequency (%) |
| 241 | ||
| . | 27 | 9.8% |
| - | 4 | 1.4% |
| ' | 4 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 22529 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 2271 | 10.1% |
| e | 2154 | 9.6% |
| n | 1874 | 8.3% |
| o | 1743 | 7.7% |
| r | 1536 | 6.8% |
| l | 1291 | 5.7% |
| i | 1188 | 5.3% |
| t | 1006 | 4.5% |
| s | 996 | 4.4% |
| u | 577 | 2.6% |
| Other values (45) | 7893 |
| Distinct | 3194 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.95260942 |
| Minimum | 17.982429 |
|---|---|
| Maximum | 69.31479216 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 17.982429 |
|---|---|
| 5-th percentile | 29.50182399 |
| Q1 | 34.318339 |
| median | 38.17733938 |
| Q3 | 41.71439139 |
| 95-th percentile | 46.56236706 |
| Maximum | 69.31479216 |
| Range | 51.33236316 |
| Interquartile range (IQR) | 7.396052395 |
Descriptive statistics
| Standard deviation | 6.100628874 |
|---|---|
| Coefficient of variation (CV) | 0.1607433314 |
| Kurtosis | 2.554447873 |
| Mean | 37.95260942 |
| Median Absolute Deviation (MAD) | 3.700770815 |
| Skewness | -0.2866570824 |
| Sum | 121220.6345 |
| Variance | 37.21767266 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 44.06482372 | 1 | < 0.1% |
| 48.82227976 | 1 | < 0.1% |
| 33.74314981 | 1 | < 0.1% |
| 41.0277278 | 1 | < 0.1% |
| 18.425688 | 1 | < 0.1% |
| 40.16143691 | 1 | < 0.1% |
| 34.39287073 | 1 | < 0.1% |
| 36.14005459 | 1 | < 0.1% |
| 40.17637905 | 1 | < 0.1% |
| 42.38696136 | 1 | < 0.1% |
| Other values (3184) | 3184 |
| Value | Count | Frequency (%) |
| 17.982429 | 1 | |
| 17.994525 | 1 | |
| 17.998457 | 1 | |
| 18.007516 | 1 | |
| 18.010387 | 1 | |
| 18.011661 | 1 | |
| 18.017889 | 1 | |
| 18.03174 | 1 | |
| 18.039942 | 1 | |
| 18.040993 | 1 |
| Value | Count | Frequency (%) |
| 69.31479216 | 1 | |
| 67.04919196 | 1 | |
| 65.50815459 | 1 | |
| 64.90320724 | 1 | |
| 64.80726247 | 1 | |
| 63.87692095 | 1 | |
| 63.67264044 | 1 | |
| 62.31305045 | 1 | |
| 62.1542916 | 1 | |
| 61.16666 | 1 |
| Distinct | 3194 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -91.50699294 |
| Minimum | -174.1596 |
|---|---|
| Maximum | -65.28813 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 3194 |
| Negative (%) | 100.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | -174.1596 |
|---|---|
| 5-th percentile | -117.7959844 |
| Q1 | -97.85755585 |
| median | -89.90057493 |
| Q3 | -82.9498558 |
| 95-th percentile | -74.00867694 |
| Maximum | -65.28813 |
| Range | 108.87147 |
| Interquartile range (IQR) | 14.90770005 |
Descriptive statistics
| Standard deviation | 13.2725518 |
|---|---|
| Coefficient of variation (CV) | -0.1450441258 |
| Kurtosis | 3.697462644 |
| Mean | -91.50699294 |
| Median Absolute Deviation (MAD) | 7.453285195 |
| Skewness | -1.246728348 |
| Sum | -292273.3354 |
| Variance | 176.1606312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -66.919643 | 1 | < 0.1% |
| -85.82630386 | 1 | < 0.1% |
| -109.8464636 | 1 | < 0.1% |
| -92.02640019 | 1 | < 0.1% |
| -84.19965764 | 1 | < 0.1% |
| -99.23692334 | 1 | < 0.1% |
| -149.5741743 | 1 | < 0.1% |
| -83.92097166 | 1 | < 0.1% |
| -124.157282 | 1 | < 0.1% |
| -102.5555498 | 1 | < 0.1% |
| Other values (3184) | 3184 |
| Value | Count | Frequency (%) |
| -174.1596 | 1 | |
| -164.0353804 | 1 | |
| -163.3967883 | 1 | |
| -162.8905196 | 1 | |
| -161.9722021 | 1 | |
| -159.8561831 | 1 | |
| -159.7503946 | 1 | |
| -159.5966786 | 1 | |
| -158.2381942 | 1 | |
| -157.9712182 | 1 |
| Value | Count | Frequency (%) |
| -65.28813 | 1 | |
| -65.440971 | 1 | |
| -65.666416 | 1 | |
| -65.666866 | 1 | |
| -65.725097 | 1 | |
| -65.753897 | 1 | |
| -65.810174 | 1 | |
| -65.813742 | 1 | |
| -65.869468 | 1 | |
| -65.887612 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 191.7 KiB |
| CBSA | |
|---|---|
| Rural |
Length
| Max length | 5 |
|---|---|
| Median length | 4 |
| Mean length | 4.414527239 |
| Min length | 4 |
Characters and Unicode
| Total characters | 14100 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | CBSA |
|---|---|
| 2nd row | CBSA |
| 3rd row | Rural |
| 4th row | CBSA |
| 5th row | Rural |
Common Values
| Value | Count | Frequency (%) |
| CBSA | 1870 | |
| Rural | 1324 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| cbsa | 1870 | |
| rural | 1324 |
Most occurring characters
| Value | Count | Frequency (%) |
| C | 1870 | |
| B | 1870 | |
| S | 1870 | |
| A | 1870 | |
| R | 1324 | |
| u | 1324 | |
| r | 1324 | |
| a | 1324 | |
| l | 1324 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 8804 | |
| Lowercase Letter | 5296 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 1870 | |
| B | 1870 | |
| S | 1870 | |
| A | 1870 | |
| R | 1324 |
Lowercase Letter
| Value | Count | Frequency (%) |
| u | 1324 | |
| r | 1324 | |
| a | 1324 | |
| l | 1324 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 14100 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| C | 1870 | |
| B | 1870 | |
| S | 1870 | |
| A | 1870 | |
| R | 1324 | |
| u | 1324 | |
| r | 1324 | |
| a | 1324 | |
| l | 1324 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 14100 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| C | 1870 | |
| B | 1870 | |
| S | 1870 | |
| A | 1870 | |
| R | 1324 | |
| u | 1324 | |
| r | 1324 | |
| a | 1324 | |
| l | 1324 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 237.3 KiB |
| Other | |
|---|---|
| Metropolitan Statistical Area | |
| Micropolitan Statistical Area |
Length
| Max length | 29 |
|---|---|
| Median length | 29 |
| Mean length | 19.05134627 |
| Min length | 5 |
Characters and Unicode
| Total characters | 60850 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Micropolitan Statistical Area |
|---|---|
| 2nd row | Metropolitan Statistical Area |
| 3rd row | Other |
| 4th row | Metropolitan Statistical Area |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| Other | 1324 | |
| Metropolitan Statistical Area | 1228 | |
| Micropolitan Statistical Area | 642 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| statistical | 1870 | |
| area | 1870 | |
| other | 1324 | |
| metropolitan | 1228 | |
| micropolitan | 642 | 9.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 10032 | |
| a | 7480 | |
| i | 6252 | |
| r | 5064 | |
| e | 4422 | 7.3% |
| o | 3740 | 6.1% |
| l | 3740 | 6.1% |
| 3740 | 6.1% | |
| c | 2512 | 4.1% |
| M | 1870 | 3.1% |
| Other values (7) | 11998 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 50176 | |
| Uppercase Letter | 6934 | 11.4% |
| Space Separator | 3740 | 6.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 10032 | |
| a | 7480 | |
| i | 6252 | |
| r | 5064 | |
| e | 4422 | |
| o | 3740 | 7.5% |
| l | 3740 | 7.5% |
| c | 2512 | 5.0% |
| p | 1870 | 3.7% |
| n | 1870 | 3.7% |
| Other values (2) | 3194 | 6.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 1870 | |
| S | 1870 | |
| A | 1870 | |
| O | 1324 |
Space Separator
| Value | Count | Frequency (%) |
| 3740 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 57110 | |
| Common | 3740 | 6.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 10032 | |
| a | 7480 | |
| i | 6252 | |
| r | 5064 | |
| e | 4422 | |
| o | 3740 | 6.5% |
| l | 3740 | 6.5% |
| c | 2512 | 4.4% |
| M | 1870 | 3.3% |
| p | 1870 | 3.3% |
| Other values (6) | 10128 |
Common
| Value | Count | Frequency (%) |
| 3740 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 60850 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 10032 | |
| a | 7480 | |
| i | 6252 | |
| r | 5064 | |
| e | 4422 | 7.3% |
| o | 3740 | 6.1% |
| l | 3740 | 6.1% |
| 3740 | 6.1% | |
| c | 2512 | 4.1% |
| M | 1870 | 3.1% |
| Other values (7) | 11998 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 197.7 KiB |
| Central | |
|---|---|
| Other | |
| Outlying |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.340012523 |
| Min length | 5 |
Characters and Unicode
| Total characters | 20250 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Outlying |
|---|---|
| 2nd row | Outlying |
| 3rd row | Other |
| 4th row | Central |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| Central | 1330 | |
| Other | 1324 | |
| Outlying | 540 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| central | 1330 | |
| other | 1324 | |
| outlying | 540 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 3194 | |
| e | 2654 | |
| r | 2654 | |
| l | 1870 | |
| n | 1870 | |
| O | 1864 | |
| C | 1330 | |
| a | 1330 | |
| h | 1324 | |
| u | 540 | 2.7% |
| Other values (3) | 1620 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 17056 | |
| Uppercase Letter | 3194 | 15.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 3194 | |
| e | 2654 | |
| r | 2654 | |
| l | 1870 | |
| n | 1870 | |
| a | 1330 | |
| h | 1324 | |
| u | 540 | 3.2% |
| y | 540 | 3.2% |
| i | 540 | 3.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| O | 1864 | |
| C | 1330 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 20250 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 3194 | |
| e | 2654 | |
| r | 2654 | |
| l | 1870 | |
| n | 1870 | |
| O | 1864 | |
| C | 1330 | |
| a | 1330 | |
| h | 1324 | |
| u | 540 | 2.7% |
| Other values (3) | 1620 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20250 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 3194 | |
| e | 2654 | |
| r | 2654 | |
| l | 1870 | |
| n | 1870 | |
| O | 1864 | |
| C | 1330 | |
| a | 1330 | |
| h | 1324 | |
| u | 540 | 2.7% |
| Other values (3) | 1620 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 210.5 KiB |
| Other | |
|---|---|
| Metro: Central | |
| Micro: Central | |
| Metro: Outlying | |
| Micro: Outlying | 92 |
Length
| Max length | 15 |
|---|---|
| Median length | 14 |
| Mean length | 10.43832185 |
| Min length | 5 |
Characters and Unicode
| Total characters | 33340 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Micro: Outlying |
|---|---|
| 2nd row | Metro: Outlying |
| 3rd row | Other |
| 4th row | Metro: Central |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| Other | 1324 | |
| Metro: Central | 780 | |
| Micro: Central | 550 | |
| Metro: Outlying | 448 | 14.0% |
| Micro: Outlying | 92 | 2.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| central | 1330 | |
| other | 1324 | |
| metro | 1228 | |
| micro | 642 | |
| outlying | 540 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 4524 | |
| t | 4422 | |
| e | 3882 | |
| M | 1870 | 5.6% |
| o | 1870 | 5.6% |
| : | 1870 | 5.6% |
| 1870 | 5.6% | |
| l | 1870 | 5.6% |
| n | 1870 | 5.6% |
| O | 1864 | 5.6% |
| Other values (8) | 7428 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 24536 | |
| Uppercase Letter | 5064 | 15.2% |
| Other Punctuation | 1870 | 5.6% |
| Space Separator | 1870 | 5.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 4524 | |
| t | 4422 | |
| e | 3882 | |
| o | 1870 | |
| l | 1870 | |
| n | 1870 | |
| a | 1330 | 5.4% |
| h | 1324 | 5.4% |
| i | 1182 | 4.8% |
| c | 642 | 2.6% |
| Other values (3) | 1620 | 6.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 1870 | |
| O | 1864 | |
| C | 1330 |
Other Punctuation
| Value | Count | Frequency (%) |
| : | 1870 |
Space Separator
| Value | Count | Frequency (%) |
| 1870 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 29600 | |
| Common | 3740 | 11.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 4524 | |
| t | 4422 | |
| e | 3882 | |
| M | 1870 | 6.3% |
| o | 1870 | 6.3% |
| l | 1870 | 6.3% |
| n | 1870 | 6.3% |
| O | 1864 | 6.3% |
| C | 1330 | 4.5% |
| a | 1330 | 4.5% |
| Other values (6) | 4768 |
Common
| Value | Count | Frequency (%) |
| : | 1870 | |
| 1870 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 33340 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 4524 | |
| t | 4422 | |
| e | 3882 | |
| M | 1870 | 5.6% |
| o | 1870 | 5.6% |
| : | 1870 | 5.6% |
| 1870 | 5.6% | |
| l | 1870 | 5.6% |
| n | 1870 | 5.6% |
| O | 1864 | 5.6% |
| Other values (8) | 7428 |
| Distinct | 2926 |
|---|---|
| Distinct (%) | 91.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24530.32498 |
| Minimum | 32 |
|---|---|
| Maximum | 2805119 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 32 |
|---|---|
| 5-th percentile | 616.9 |
| Q1 | 2581.25 |
| median | 6244.5 |
| Q3 | 16450.75 |
| 95-th percentile | 101889.2 |
| Maximum | 2805119 |
| Range | 2805087 |
| Interquartile range (IQR) | 13869.5 |
Descriptive statistics
| Standard deviation | 83798.38078 |
|---|---|
| Coefficient of variation (CV) | 3.416113763 |
| Kurtosis | 428.4296948 |
| Mean | 24530.32498 |
| Median Absolute Deviation (MAD) | 4543 |
| Skewness | 16.21893143 |
| Sum | 78349858 |
| Variance | 7022168621 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2268 | 4 | 0.1% |
| 1958 | 3 | 0.1% |
| 2027 | 3 | 0.1% |
| 2118 | 3 | 0.1% |
| 2843 | 3 | 0.1% |
| 4439 | 3 | 0.1% |
| 2014 | 3 | 0.1% |
| 1147 | 3 | 0.1% |
| 1053 | 3 | 0.1% |
| 2136 | 3 | 0.1% |
| Other values (2916) | 3163 |
| Value | Count | Frequency (%) |
| 32 | 1 | |
| 35 | 1 | |
| 41 | 1 | |
| 63 | 1 | |
| 65 | 1 | |
| 67 | 1 | |
| 74 | 1 | |
| 80 | 1 | |
| 82 | 1 | |
| 87 | 1 |
| Value | Count | Frequency (%) |
| 2805119 | 1 | |
| 1248818 | 1 | |
| 1178827 | 1 | |
| 1114552 | 1 | |
| 994677 | 1 | |
| 791352 | 1 | |
| 687264 | 1 | |
| 635446 | 1 | |
| 615296 | 1 | |
| 599698 | 1 |
| Distinct | 757 |
|---|---|
| Distinct (%) | 23.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 294.5544771 |
| Minimum | 0 |
|---|---|
| Maximum | 31046 |
| Zeros | 96 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 36 |
| median | 89 |
| Q3 | 219.75 |
| 95-th percentile | 1123.05 |
| Maximum | 31046 |
| Range | 31046 |
| Interquartile range (IQR) | 183.75 |
Descriptive statistics
| Standard deviation | 977.429549 |
|---|---|
| Coefficient of variation (CV) | 3.318332006 |
| Kurtosis | 365.7224728 |
| Mean | 294.5544771 |
| Median Absolute Deviation (MAD) | 66 |
| Skewness | 15.18832301 |
| Sum | 940807 |
| Variance | 955368.5233 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 96 | 3.0% |
| 11 | 32 | 1.0% |
| 9 | 28 | 0.9% |
| 8 | 26 | 0.8% |
| 55 | 25 | 0.8% |
| 19 | 25 | 0.8% |
| 46 | 24 | 0.8% |
| 24 | 24 | 0.8% |
| 28 | 24 | 0.8% |
| 16 | 23 | 0.7% |
| Other values (747) | 2867 |
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 1 | 21 | 0.7% |
| 2 | 15 | 0.5% |
| 3 | 19 | 0.6% |
| 4 | 16 | 0.5% |
| 5 | 18 | 0.6% |
| 6 | 15 | 0.5% |
| 7 | 23 | 0.7% |
| 8 | 26 | 0.8% |
| 9 | 28 | 0.9% |
| Value | Count | Frequency (%) |
| 31046 | 1 | |
| 15625 | 1 | |
| 14123 | 1 | |
| 12732 | 1 | |
| 11775 | 1 | |
| 10724 | 1 | |
| 10320 | 1 | |
| 7713 | 1 | |
| 7698 | 1 | |
| 7570 | 1 |
| Distinct | 3138 |
|---|---|
| Distinct (%) | 98.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 103654.6359 |
| Minimum | 169 |
|---|---|
| Maximum | 10039107 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 169 |
|---|---|
| 5-th percentile | 2831.55 |
| Q1 | 11195.25 |
| median | 26274 |
| Q3 | 67625.75 |
| 95-th percentile | 441910.5 |
| Maximum | 10039107 |
| Range | 10038938 |
| Interquartile range (IQR) | 56430.5 |
Descriptive statistics
| Standard deviation | 330850.5584 |
|---|---|
| Coefficient of variation (CV) | 3.191854909 |
| Kurtosis | 305.8528033 |
| Mean | 103654.6359 |
| Median Absolute Deviation (MAD) | 18870.5 |
| Skewness | 13.53821422 |
| Sum | 331072907 |
| Variance | 1.09462092 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14651 | 3 | 0.1% |
| 2530 | 3 | 0.1% |
| 8179 | 2 | 0.1% |
| 2356 | 2 | 0.1% |
| 2879 | 2 | 0.1% |
| 3838 | 2 | 0.1% |
| 13943 | 2 | 0.1% |
| 12196 | 2 | 0.1% |
| 6229 | 2 | 0.1% |
| 1794 | 2 | 0.1% |
| Other values (3128) | 3172 |
| Value | Count | Frequency (%) |
| 169 | 1 | |
| 272 | 1 | |
| 404 | 1 | |
| 463 | 1 | |
| 465 | 1 | |
| 487 | 1 | |
| 494 | 1 | |
| 579 | 1 | |
| 623 | 1 | |
| 625 | 1 |
| Value | Count | Frequency (%) |
| 10039107 | 1 | |
| 5150233 | 1 | |
| 4713325 | 1 | |
| 4485414 | 1 | |
| 3338330 | 1 | |
| 3175692 | 1 | |
| 2716940 | 1 | |
| 2635516 | 1 | |
| 2559903 | 1 | |
| 2470546 | 1 |
| Distinct | 3191 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 2 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 240.2849101 |
| Minimum | 51.34281201 |
|---|---|
| Maximum | 1617.647059 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 51.34281201 |
|---|---|
| 5-th percentile | 148.4619795 |
| Q1 | 205.5453362 |
| median | 241.0387501 |
| Q3 | 272.9211987 |
| 95-th percentile | 322.7689021 |
| Maximum | 1617.647059 |
| Range | 1566.304247 |
| Interquartile range (IQR) | 67.37586254 |
Descriptive statistics
| Standard deviation | 61.05925171 |
|---|---|
| Coefficient of variation (CV) | 0.2541118861 |
| Kurtosis | 83.36423366 |
| Mean | 240.2849101 |
| Median Absolute Deviation (MAD) | 33.86536733 |
| Skewness | 4.020983894 |
| Sum | 766989.433 |
| Variance | 3728.232219 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 167.0428894 | 2 | 0.1% |
| 238.1818806 | 1 | < 0.1% |
| 211.9086909 | 1 | < 0.1% |
| 198.3331773 | 1 | < 0.1% |
| 347.4025974 | 1 | < 0.1% |
| 183.1693989 | 1 | < 0.1% |
| 119.4824962 | 1 | < 0.1% |
| 288.8946224 | 1 | < 0.1% |
| 250.424065 | 1 | < 0.1% |
| 215.4637969 | 1 | < 0.1% |
| Other values (3181) | 3181 | |
| (Missing) | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 51.34281201 | 1 | |
| 69.93261701 | 1 | |
| 71.2575533 | 1 | |
| 76.55502392 | 1 | |
| 78.29351129 | 1 | |
| 80.61915511 | 1 | |
| 81.01851852 | 1 | |
| 81.8353237 | 1 | |
| 87.28749048 | 1 | |
| 89.35542639 | 1 |
| Value | Count | Frequency (%) |
| 1617.647059 | 1 | |
| 705.3701016 | 1 | |
| 631.8380236 | 1 | |
| 584.7272727 | 1 | |
| 558.4369449 | 1 | |
| 555.8690176 | 1 | |
| 553.7884665 | 1 | |
| 541.9622772 | 1 | |
| 536.8095283 | 1 | |
| 493.2372506 | 1 |
| Distinct | 3081 |
|---|---|
| Distinct (%) | 96.5% |
| Missing | 2 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.454693529 |
| Minimum | 0 |
|---|---|
| Maximum | 13.59516616 |
| Zeros | 96 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 25.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.827986562 |
| Q1 | 2.401081901 |
| median | 3.413755612 |
| Q3 | 4.472142439 |
| 95-th percentile | 6.162881628 |
| Maximum | 13.59516616 |
| Range | 13.59516616 |
| Interquartile range (IQR) | 2.071060538 |
Descriptive statistics
| Standard deviation | 1.629569511 |
|---|---|
| Coefficient of variation (CV) | 0.4716972714 |
| Kurtosis | 1.055820508 |
| Mean | 3.454693529 |
| Median Absolute Deviation (MAD) | 1.044616124 |
| Skewness | 0.3849434644 |
| Sum | 11027.38174 |
| Variance | 2.655496791 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 96 | 3.0% |
| 3.624282694 | 3 | 0.1% |
| 5.041593143 | 2 | 0.1% |
| 1.566306996 | 2 | 0.1% |
| 3.007518797 | 2 | 0.1% |
| 2.721088435 | 2 | 0.1% |
| 1.719056974 | 2 | 0.1% |
| 5.340453939 | 2 | 0.1% |
| 4.078511343 | 2 | 0.1% |
| 3.904343582 | 2 | 0.1% |
| Other values (3071) | 3077 |
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 0.1214107934 | 1 | < 0.1% |
| 0.1391207568 | 1 | < 0.1% |
| 0.1399776036 | 1 | < 0.1% |
| 0.2636783125 | 1 | < 0.1% |
| 0.2727024816 | 1 | < 0.1% |
| 0.3350270814 | 1 | < 0.1% |
| 0.347826087 | 1 | < 0.1% |
| 0.352758572 | 1 | < 0.1% |
| 0.3736920777 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 13.59516616 | 1 | |
| 11.4492317 | 1 | |
| 10.38062284 | 1 | |
| 10.19332162 | 1 | |
| 9.857072449 | 1 | |
| 9.849470359 | 1 | |
| 9.803921569 | 1 | |
| 9.79934671 | 1 | |
| 9.199215805 | 1 | |
| 9.109223088 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| fips | last_date | state_name | county_name | latitude | longitude | cbsa_rural | cbsa_type | county_type | cbsa_county_type | cases | deaths | population | cases_per_k | deaths_per_k | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 45001 | 2022-03-07 | South Carolina | Abbeville | 34.223334 | -82.461707 | CBSA | Micropolitan Statistical Area | Outlying | Micro: Outlying | 6615 | 67 | 24527 | 268.280813 | 2.717281 |
| 1 | 22001 | 2022-03-07 | Louisiana | Acadia | 30.295065 | -92.414197 | CBSA | Metropolitan Statistical Area | Outlying | Metro: Outlying | 14988 | 287 | 62045 | 239.547372 | 4.587009 |
| 2 | 51001 | 2022-03-07 | Virginia | Accomack | 37.767072 | -75.632346 | Rural | Other | Other | Other | 6915 | 103 | 32316 | 211.196628 | 3.145807 |
| 3 | 16001 | 2022-03-07 | Idaho | Ada | 43.452658 | -116.241552 | CBSA | Metropolitan Statistical Area | Central | Metro: Central | 131024 | 992 | 481587 | 293.741537 | 2.223956 |
| 4 | 19001 | 2022-03-07 | Iowa | Adair | 41.330756 | -94.471059 | Rural | Other | Other | Other | 1577 | 50 | 7152 | 221.364402 | 7.018529 |
| 5 | 21001 | 2022-03-07 | Kentucky | Adair | 37.104598 | -85.281297 | Rural | Other | Other | Other | 5549 | 99 | 19202 | 288.394574 | 5.145263 |
| 6 | 29001 | 2022-03-07 | Missouri | Adair | 40.190586 | -92.600782 | CBSA | Micropolitan Statistical Area | Central | Micro: Central | 5475 | 61 | 25343 | 216.189536 | 2.408687 |
| 7 | 40001 | 2022-03-07 | Oklahoma | Adair | 35.884942 | -94.658593 | Rural | Other | Other | Other | 7808 | 69 | 22194 | 353.095464 | 3.120336 |
| 8 | 8001 | 2022-03-07 | Colorado | Adams | 39.874321 | -104.336258 | CBSA | Metropolitan Statistical Area | Central | Metro: Central | 129091 | 1234 | 517421 | 259.680356 | 2.482323 |
| 9 | 16003 | 2022-03-07 | Idaho | Adams | 44.893336 | -116.454525 | Rural | Other | Other | Other | 692 | 15 | 4294 | 172.182135 | 3.732272 |
Last rows
| fips | last_date | state_name | county_name | latitude | longitude | cbsa_rural | cbsa_type | county_type | cbsa_county_type | cases | deaths | population | cases_per_k | deaths_per_k | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3184 | 45091 | 2022-03-07 | South Carolina | York | 34.972815 | -81.180859 | CBSA | Metropolitan Statistical Area | Outlying | Metro: Outlying | 77271 | 617 | 280979 | 298.757738 | 2.385546 |
| 3185 | 51199 | 2022-03-07 | Virginia | York | 37.243748 | -76.544128 | CBSA | Metropolitan Statistical Area | Central | Metro: Central | 9665 | 105 | 68280 | 143.000873 | 1.553553 |
| 3186 | 48503 | 2022-03-07 | Texas | Young | 33.176597 | -98.687909 | Rural | Other | Other | Other | 3885 | 89 | 18010 | 214.474992 | 4.913327 |
| 3187 | 6115 | 2022-03-07 | California | Yuba | 39.262559 | -121.353564 | CBSA | Metropolitan Statistical Area | Central | Metro: Central | 16869 | 115 | 78668 | 223.451181 | 1.523320 |
| 3188 | 2290 | 2022-03-07 | Alaska | Yukon-Koyukuk | 65.508155 | -151.390739 | Rural | Other | Other | Other | 1332 | 9 | 5230 | 245.983380 | 1.662050 |
| 3189 | 4027 | 2022-03-07 | Arizona | Yuma | 32.768957 | -113.906667 | CBSA | Metropolitan Statistical Area | Central | Metro: Central | 62171 | 1116 | 213787 | 299.144970 | 5.369799 |
| 3190 | 8125 | 2022-03-07 | Colorado | Yuma | 40.003468 | -102.425867 | Rural | Other | Other | Other | 1849 | 23 | 10019 | 183.632933 | 2.284239 |
| 3191 | 48505 | 2022-03-07 | Texas | Zapata | 27.001564 | -99.169872 | CBSA | Micropolitan Statistical Area | Central | Micro: Central | 3652 | 52 | 14179 | 254.158257 | 3.618902 |
| 3192 | 48507 | 2022-03-07 | Texas | Zavala | 28.866172 | -99.760508 | Rural | Other | Other | Other | 4025 | 67 | 11840 | 331.794576 | 5.523040 |
| 3193 | 46137 | 2022-03-07 | South Dakota | Ziebach | 44.978819 | -101.665462 | Rural | Other | Other | Other | 666 | 11 | 2756 | 236.673774 | 3.909026 |